The American Association of Clinical Endocrinology and the American College of Endocrinology Clinical Practice Guideline is a comprehensive, practical tool that can be used to diagnose and manage dyslipidemia, a major risk for the development and progression of atherosclerotic cardiovascular disease. Effective therapies are available to improve lipid profiles and reduce cardiovascular events.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/01.NPR.0000550246.96902.de | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Background/aims: Certain sociodemographic groups are routinely underrepresented in clinical trials, limiting generalisability. Here, we describe the extent to which enriched enrolment approaches yielded a diverse trial population enriched for older age in a randomised controlled trial of a blood-based multi-cancer early detection test (NCT05611632).
Methods: Participants aged 50-77 years were recruited from eight Cancer Alliance regions in England.
Comparison of Interportal and Periportal Capsulotomies and Axial Distraction Resistance During Hip Arthroscopy: An In Vivo Propensity-Matched Cohort Study.
Am J Sports Med
January 2025
Department of Orthopaedics, University of Utah, Salt Lake City, Utah, USA.
Background: Intraoperative hip capsule management is increasingly recognized as an important component of hip arthroscopy for the prevention of capsular-related instability. The periportal capsulotomy, relative to the interportal capsulotomy, has been proposed as a minimally invasive technique for decreasing postarthroscopy hip instability; however, the biomechanical effects of this technique are not well established.
Purpose/hypothesis: This study aimed to provide a biomechanical characterization of interportal and periportal capsulotomies, helping inform surgeon choice of capsulotomy type and repair, potentially guiding clinical practice in hip arthroscopy.
From Federal Policy to Bedside Care: A Canadian Perspective on Key Considerations for Nurse Executive Action for AI Adoption - A Commentary.
Nurs Leadersh (Tor Ont)
June 2025
Clinical Practice Leader Corporate Interprofessional Practice Lakeridge Health Durham Region, ON.
The integration of artificial intelligence (AI) into healthcare represents a paradigm shift with the potential to enhance patient care and streamline clinical operations. This commentary explores the Canadian perspective on key organizational considerations for nurse executives, emphasizing the critical role they play in fostering the establishment of AI governance structures and advancing the front-line adoption of AI in nursing practice. The discussion delves into five domains of consideration, analyzing recent developments and implications for nursing executives.
View Article and Find Full Text PDFSelf-regulation in eHealth: definition, contributing factors, and experiences from blended rehabilitation care.
Disabil Rehabil
January 2025
Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands.
Purpose: eHealth might contribute to changes in roles and responsibilities of patients and healthcare professionals (HCPs), including the patient's potential to enhance self-regulation. The aim of this study was to identify important aspects and experiences of self-regulation and factors that may support self-regulation in blended rehabilitation care.
Materials And Methods: Semi-structured interviews were conducted among HCPs and patients regarding perceptions and experiences with self-regulation in relation to a telerehabilitation portal.
How Outcome Prediction Could Aid Clinical Practice.
Br J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!